📄 compute_interface_nodes.m
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function [interface, persist, transient] = compute_interface_nodes(intra, inter)% COMPUTE_INTERFACE_NODES Find the nodes in a DBN that represent a sufficient statistic% [interface, persist, transient] = compute_interface_nodes(intra, inter)%% The interface nodes are all those that has an incoming temporal arc,% or which are parents of such nodes.% If the parents are in the previous slice, this just means they have an% outgoing temporal arc.% (The parents of nodes with incoming temporal arcs are needed% because moralization will bring them into the clique.)%% The persisent nodes are all those that have one or more incoming temporal arc.% The transient nodes are all the non-persistent.%% See U. Kjaerulff, "dHugin: A computational system for dynamic% time-sliced Bayesian networks", Intl. J. Forecasting (11) 89-111, 1995n = length(intra);interface = [];persist = [];% any nodes with incoming arcsfor u=1:n if any(inter(:,u)) interface = [interface u]; persist = [persist u]; endend% Any nodes which are parents of nodes with incoming arcsfor u=1:n cs = children(intra, u); if any(inter(:, cs)) interface = [interface u]; end %cs = children(inter, u); % if ~isempty(myintersect(cs, persist)) % interface = [interface u]; %endendinterface = unique(interface);persist = unique(persist);transient = mysetdiff(1:n, persist);
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